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I'm trying to resolve this exercise but I don't even know where to start. Do I have to apply convolution?

**It appears that this question is classified as homework - this an exame problem which I was/am studying **, not homework per se

The "simple" doubt was I had no idea where to start -The answer by Fat32 helped me a lot: "express the input x1[n] in terms of shifted and scaled copies of x0[n]"

I can upload the resolution with the graphics if this help the question.

Thank you, Eddy

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    $\begingroup$ No, you must apply fundamental LTI property: Express the input $x_1[n]$ in terms of shifted and scaled copies of $x_0[n]$, and then the output will be obtained in terms of the same shifted and scaled copies of the response, $y_0[n]$ , of the system to the basic input $x_0[n]$... $\endgroup$
    – Fat32
    May 9 at 17:44
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    $\begingroup$ Eddy, this is not a place to post your homework. $\endgroup$
    – robert bristow-johnson
    May 9 at 17:44
  • $\begingroup$ I simply don't know how to do this question, but thank you for your help. If you wish I will gladly send my homework $\endgroup$
    – Eddygrinder
    May 9 at 18:24
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    $\begingroup$ @Eddygrinder: Why don't you try to follow Fat32's advice? $\endgroup$
    – Matt L.
    May 9 at 18:25
  • $\begingroup$ @MattL. sure I will $\endgroup$
    – Eddygrinder
    May 9 at 18:26

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@FAT32 thank you so much for your help.

$x_1[n] = 2x_0[n-4] + x_0[n-2] + x_0[n-6]$

Thus the output is:

$-\delta[n]-2\delta[n-1]-2\delta[n-2]-2\delta[n-3]+2\delta[n-5]+2\delta[n-6]+2\delta[n-7]+\delta[n-8]$

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  • $\begingroup$ Good work! You can accept your own answer if you like. $\endgroup$
    – Matt L.
    May 9 at 20:31

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